World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7209
World Ranking
6599
National Ranking
885

Biao Hou publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Biao Hou sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 289 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Biao Hou D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Biao Hou sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Biao Hou is affiliated with Xidian University in China and has contributed extensively to the fields of engineering and computer science, with a focus on specific subfields including computer vision and pattern recognition, media technology, aerospace engineering, artificial intelligence, and biomedical engineering.

The primary research topics explored by Biao Hou include:

  • Remote-Sensing Image Classification
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Advanced Image Fusion Techniques
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Advanced SAR Imaging Techniques
  • Domain Adaptation and Few-Shot Learning

Biao Hou's recent publications illustrate contributions across several renowned journals and conferences, including the following papers:

  • New Generation Deep Learning for Video Object Detection: A Survey, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Feature Split-Merge-Enhancement Network for Remote Sensing Object Detection, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • A spatial-channel progressive fusion ResNet for remote sensing classification, 2020, Information Fusion
  • Graph Representation Learning Meets Computer Vision: A Survey, 2022, IEEE Transactions on Artificial Intelligence
  • Spatio-temporal segments attention for skeleton-based action recognition, 2022, Neurocomputing

Throughout their career, Biao Hou has frequently collaborated with other scholars. Notable coauthors include Licheng Jiao, Bo Ren, Shuang Wang, Fang Liu, and Shuyuan Yang.

Frequent publishing venues where Biao Hou's work appears include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • arXiv (Cornell University)

Biao Hou's research output demonstrates active engagement with both theoretical and application-driven aspects of remote sensing and neural networks, combining advanced methodologies in image processing and computer vision with progressive fusion techniques and deep learning approaches. Their scholarly record spans multidisciplinary collaborations and dissemination in high-impact academic sources.

Best Publications

  • New Generation Deep Learning for Video Object Detection: A Survey

    Licheng Jiao;Ruohan Zhang;Fang Liu;Shuyuan Yang

  • SAR Image Despeckling Based on Local Homogeneous-Region Segmentation by Using Pixel-Relativity Measurement

    Hongxiao Feng;Biao Hou;Maoguo Gong

  • Using Combined Difference Image and $k$ -Means Clustering for SAR Image Change Detection

    Yaoguo Zheng;Xiangrong Zhang;Biao Hou;Ganchao Liu

  • Feature Split–Merge–Enhancement Network for Remote Sensing Object Detection

    Unknown

  • POL-SAR Image Classification Based on Wishart DBN and Local Spatial Information

    Fang Liu;Licheng Jiao;Biao Hou;Shuyuan Yang

  • Unsupervised Change Detection in SAR Image Based on Gauss-Log Ratio Image Fusion and Compressed Projection

    Biao Hou;Qian Wei;Yaoguo Zheng;Shuang Wang

  • SAR Image Despeckling Based on Nonsubsampled Shearlet Transform

    Biao Hou;Xiaohua Zhang;Xiaoming Bu;Hongxiao Feng

  • Classification of Polarimetric SAR Images Using Multilayer Autoencoders and Superpixels

    Biao Hou;Hongda Kou;Licheng Jiao

  • Multilayer CFAR Detection of Ship Targets in Very High Resolution SAR Images

    Biao Hou;Xingzhong Chen;Licheng Jiao

  • SAR Targets Classification Based on Deep Memory Convolution Neural Networks and Transfer Parameters

    Ronghua Shang;Jiaming Wang;Licheng Jiao;Rustam Stolkin

  • Transferred Deep Learning-Based Change Detection in Remote Sensing Images

    Meijuan Yang;Licheng Jiao;Fang Liu;Biao Hou

  • Graph Representation Learning Meets Computer Vision: A Survey

    Unknown

  • Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images

    Fang Liu;Licheng Jiao;Xu Tang;Shuyuan Yang

  • POLSAR Image Classification via Wishart-AE Model or Wishart-CAE Model

    Wen Xie;Licheng Jiao;Biao Hou;Wenping Ma

  • Natural and Remote Sensing Image Segmentation Using Memetic Computing

    Licheng Jiao;Maoguo Gong;Shuang Wang;Biao Hou

  • Self-Distillation Feature Learning Network for Optical and SAR Image Registration

    Unknown

  • A Spatial Fuzzy Clustering Algorithm With Kernel Metric Based on Immune Clone for SAR Image Segmentation

    Ronghua Shang;Pingping Tian;Licheng Jiao;Rustam Stolkin

  • Spatio-temporal segments attention for skeleton-based action recognition

    Unknown

  • Context-Based Hierarchical Unequal Merging for SAR Image Segmentation

    Hang Yu;Xiangrong Zhang;Shuang Wang;Biao Hou

  • SAR Images Retrieval Based on Semantic Classification and Region-Based Similarity Measure for Earth Observation

    Licheng Jiao;Xu Tang;Biao Hou;Shuang Wang

  • A spatial-channel progressive fusion ResNet for remote sensing classification

    Hao Zhu;Mengru Ma;Wenping Ma;Licheng Jiao

  • CNN-Based Polarimetric Decomposition Feature Selection for PolSAR Image Classification

    Chen Yang;Biao Hou;Bo Ren;Yue Hu

  • SAR Image Despeckling Using Edge Detection and Feature Clustering in Bandelet Domain

    Wenge Zhang;Fang Liu;Licheng Jiao;Biao Hou

  • Unsupervised saliency-guided SAR image change detection

    Yaoguo Zheng;Licheng Jiao;Hongying Liu;Xiangrong Zhang

  • Multivariate Compressive Sensing for Image Reconstruction in the Wavelet Domain: Using Scale Mixture Models

    Jiao Wu;Fang Liu;L. C. Jiao;Xiaodong Wang

  • Multilayer feature learning for polarimetric synthetic radar data classification

    Huiming Xie;Shuang Wang;Kun Liu;Shaopeng Lin

Frequent Co-Authors

Licheng Jiao
Licheng Jiao Xidian University
Xiangrong Zhang
Xiangrong Zhang Xidian University
Shuyuan Yang
Shuyuan Yang Xidian University
Fang Liu
Fang Liu Beihang University
Wenping Ma
Wenping Ma Xidian University
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Ronghua Shang
Ronghua Shang Xidian University
Rustam Stolkin
Rustam Stolkin University of Birmingham
Maoguo Gong
Maoguo Gong Xidian University
Fanhua Shang
Fanhua Shang Tianjin University

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